Brain Tumor Detection and Classification Using Adjusted InceptionV3, AlexNet, VGG16, VGG19 with ResNet50-152 CNN Model

DS Wankhede, CJ Shelke… - … on Pervasive Health …, 2024 - publications.eai.eu
INTRODUCTION: Brain tumors have become a major global health concern, characterized
by the abnormal growth of brain cells that can negatively affect surrounding tissues. These …

An Experimental Study Using Deep Neural Networks to Predict the Recurrence Risk of Brain Tumor Glioblastoma Multiform

DS Wankhede, CJ Shelke - Journal of Electrical Systems, 2024 - search.proquest.com
Virtual reality (VR) technology within the hotel industry marks a transformative shift in the
way guests experience and engage with hospitality services. Virtual reality, with its …

An enhanced algorithm for predicting IDH1 mutations and 1p19q mitigation in glioma tumor

DS Wankhede, CJ Shelke, A George - AIP Conference Proceedings, 2024 - pubs.aip.org
A stage IV, very invasive astrocytoma tumour is called a glioblastoma. Its diverse MRI
appearance presents a serious difficulty in terms of analysis with its detection of sudden …

An Experimental Analysis of Machine Learning Model in the Context of Sales Forecasting:-A Walmart Dataset as A Case Study.

D Wankhede, A Athanikar, Y Borude… - … of Engineering & …, 2024 - search.ebscohost.com
Software programmers may get gradually precise at expecting consequences without being
clearly coded using machine learning techniques. Machine learning is based on the idea …

The Decentralized Smart Contract Certificate System Utilizing Ethereum Blockchain Technology

D Wankhede, V Gaikwad, M Karnik, V Mishra… - Procedia Computer …, 2023 - Elsevier
This research paper presents an innovative approach to address the challenges associated
with platitudinous paper certificates and electronic certificates. These challenges include …

Machine learning based Expert System for Online Admissions.

D Wankhede, S Sasane, A Igade… - … of Engineering & …, 2024 - search.ebscohost.com
The web application permits on-line admissions saving the time of geographically scattered
college students. It permits lowering time in activities, centralized information dealing with …